The rapid expansion of online platforms like Airbnb has transformed the hospitality industry, facilitating global accommodation sharing. However, this growth has introduced significant privacy concerns, especially within user-generated reviews. These reviews often contain sensitive personal information like travel dates, locations, and experiences. When combined with other data sources, this information can lead to privacy vulnerabilities. This paper explores the potential risks associated with Airbnb reviews, emphasizing how data can be aggregated and exploited by malicious actors. It also examines the role of Artificial Intelligence (AI) in analyzing such data, focusing on the ethical challenges related to transparency, bias, and privacy protection. The research suggests that implementing stronger privacy controls and regulatory frameworks can help mitigate these risks, ensuring user safety and ethical data management.
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